How Does Biased Information Sampling Lead to Biases in Judgment: A Review from a Biased Sampling Perspective

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Foreign Economics & Management

LiZengquan, Editor-in-Chief

ZhengChunrong, Vice Executive Editor-in-Chief

YinHuifang HeXiaogang LiuJianguo, Vice Editor-in-Chief

ISSN:1001-4950

CN:31-1063/F

Foreign Economics & Management (FEM) is an influential peer reviewed management journal in China.

How Does Biased Information Sampling Lead to Biases in Judgment: A Review from a Biased Sampling Perspective

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Ma Dandan1, Cen Yonghua Correspondence author

Author Affiliations

Foreign Economics & ManagementVol. 39, Issue 12, pp. 23 - 37 (2017)• DOI:10.16538/j.cnki.fem.2017.12.002

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